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Spotlight
Tue Jul 19 07:30 AM -- 07:35 AM (PDT) @ Room 310
Exploring and Exploiting Hubness Priors for High-Quality GAN Latent Sampling
In Deep Learning: Generative Models/Autoencoders
Yuanbang Liang · Jing Wu · Yu-Kun Lai · Yipeng Qin
Spotlight
Tue Jul 19 07:35 AM -- 07:40 AM (PDT) @ Room 310
ButterflyFlow: Building Invertible Layers with Butterfly Matrices
In Deep Learning: Generative Models/Autoencoders
Chenlin Meng · Linqi Zhou · Kristy Choi · Tri Dao · Stefano Ermon
Spotlight
Tue Jul 19 07:40 AM -- 07:45 AM (PDT) @ Room 310
Controlling Conditional Language Models without Catastrophic Forgetting
In Deep Learning: Generative Models/Autoencoders
Tomasz Korbak · Hady Elsahar · Germán Kruszewski · Marc Dymetman
Spotlight
Tue Jul 19 07:45 AM -- 07:50 AM (PDT) @ Room 310
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models
In Deep Learning: Generative Models/Autoencoders
Alexander Nichol · Prafulla Dhariwal · Aditya Ramesh · Pranav Shyam · Pamela Mishkin · Bob McGrew · Ilya Sutskever · Mark Chen
Spotlight
Tue Jul 19 07:50 AM -- 07:55 AM (PDT) @ Room 310
Structure-preserving GANs
In Deep Learning: Generative Models/Autoencoders
Jeremiah Birrell · Markos Katsoulakis · Luc Rey-Bellet · Wei Zhu
Spotlight
Tue Jul 19 07:55 AM -- 08:00 AM (PDT) @ Room 310
DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale
In Deep Learning: Generative Models/Autoencoders
Samyam Rajbhandari · Conglong Li · Zhewei Yao · Minjia Zhang · Reza Yazdani Aminabadi · Ammar Ahmad Awan · Jeff Rasley · Yuxiong He
Spotlight
Tue Jul 19 08:00 AM -- 08:05 AM (PDT) @ Room 310
Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models
In Deep Learning: Generative Models/Autoencoders
Fan Bao · Chongxuan Li · Jiacheng Sun · Jun Zhu · Bo Zhang
Oral
Tue Jul 19 08:05 AM -- 08:25 AM (PDT) @ Room 310
Equivariant Diffusion for Molecule Generation in 3D
In Deep Learning: Generative Models/Autoencoders
Emiel Hoogeboom · Victor Garcia Satorras · Clément Vignac · Max Welling
Spotlight
Tue Jul 19 08:25 AM -- 08:30 AM (PDT) @ Room 310
Forward Operator Estimation in Generative Models with Kernel Transfer Operators
In Deep Learning: Generative Models/Autoencoders
Zhichun Huang · Rudrasis Chakraborty · Vikas Singh
Spotlight
Tue Jul 19 08:30 AM -- 08:35 AM (PDT) @ Room 310
Conditional GANs with Auxiliary Discriminative Classifier
In Deep Learning: Generative Models/Autoencoders
Liang Hou · Qi Cao · Huawei Shen · Siyuan Pan · Xiaoshuang Li · Xueqi Cheng
Spotlight
Tue Jul 19 08:35 AM -- 08:40 AM (PDT) @ Room 310
Improved StyleGAN-v2 based Inversion for Out-of-Distribution Images
In Deep Learning: Generative Models/Autoencoders
Rakshith Subramanyam · Vivek Narayanaswamy · Mark Naufel · Andreas Spanias · Jayaraman J. Thiagarajan
Spotlight
Tue Jul 19 08:40 AM -- 08:45 AM (PDT) @ Room 310
Matching Normalizing Flows and Probability Paths on Manifolds
In Deep Learning: Generative Models/Autoencoders
Heli Ben-Hamu · samuel cohen · Joey Bose · Brandon Amos · Maximilian Nickel · Aditya Grover · Ricky T. Q. Chen · Yaron Lipman
Spotlight
Tue Jul 19 08:45 AM -- 08:50 AM (PDT) @ Room 310
Marginal Distribution Adaptation for Discrete Sets via Module-Oriented Divergence Minimization
In Deep Learning: Generative Models/Autoencoders
Hanjun Dai · Mengjiao Yang · Yuan Xue · Dale Schuurmans · Bo Dai
Spotlight
Tue Jul 19 08:50 AM -- 08:55 AM (PDT) @ Room 310
Learning to Incorporate Texture Saliency Adaptive Attention to Image Cartoonization
In Deep Learning: Generative Models/Autoencoders
Xiang Gao · Yuqi Zhang · Yingjie Tian
Spotlight
Tue Jul 19 08:55 AM -- 09:00 AM (PDT) @ Room 310
Region-Based Semantic Factorization in GANs
In Deep Learning: Generative Models/Autoencoders
Jiapeng Zhu · Yujun Shen · Yinghao Xu · Deli Zhao · Qifeng Chen